WATCH THE ONLINE TALK: STREAMING SQL FOR APACHE KAFKA

Learn how to build real-time streaming applications with KSQL. This talk explains the KSQL engine architecture, and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.

Level Up your KSQL

Whether you are brand new to KSQL or ready to take it to production, now you can dive deep on core KSQL concepts, streams and tables, enriching unbounded data and data aggregations, scalability and security configurations, and more.

KSQL Introduction

Get an introduction to the concept of stream processing with Apache Kafka and KSQL.

Anomaly Detection

KSQL is a good fit for identifying patterns or anomalies on real-time data. By processing the stream as data arrives you can identify and properly surface out of the ordinary events with millisecond latency.

モニタリング

Kafka’s ability to provide scalable ordered messages with stream processing make it a common solution for log data monitoring and alerting. KSQL lends a familiar syntax for tracking, understanding, and managing alerts.